We feature leading European Artificial Intelligence companies here. In terms of popular AI use cases; Information security, marketing and sales dominate the map. An interesting exception is NeoTek from Russia, they provide a physical security solution, an image recognition system to dedect intruders real time from video camera footage.

In some cases numerous companies exist in one country. In such cases, we selected the company to feature after considering 2 points:

Is AI part of the company’s core business?

How big is the company in terms of funding, number of employees, number of customer references?

Results are based on public information, most data is from companies we are currently featuring on appliedAI.com. You can also see the interactive version on Tableau Public
If you have any suggestions, please share with us so we can improve the map.Read more

Almost all major websites and business do not use artificial intelligence could be a simpler question. Since AI systems can be defined as learning systems that solve problems which can not be solved perfectly, AI systems are ubiquitous in major enterprises. Here are some mainstream and some quirky examples that are open to public so you can interact with the AI system. If you think we are missing any examples, please add to comments.

Search engines

Text search:

Google is one of the leading companies in AI and it is impossible to have a competitive search solution today without Natural Language Processing, a sub field of AI. RankBrain is a machine-learning artificial intelligence system that helps Google process some of its search results, in particular rare or one-of-a-kind queries. It was launched in early 2015 and is used globally by Google.

=&1=&Whether it is tagging images or searching images by uploading images, machine vision is required in image search. ViSenze is a vendor providing image search technology, you can see more details here and try their image search here.

We have identified about a dozen artificial intelligence use cases in customer service and structured these use cases around typical customer service activities. Our framework is by no means comprehensive but it is ever improving so please let us know if you have any comments and suggestions.

Primary customer service activities and AI use cases in these activities are listed below. You can explore more on each topic by clicking its link which will take you to a detailed guide with references:

Identifying issues wherever they rise is the first step to resolving them. Social listening and ticketing vendors help you to leverage Natural Language Processing and machine vision to identify customers to contact and respond to them automatically or assign them to relevant agents increasing customer satisfaction.Read more

Finally, there is us if you don’t want to track gazillion sources to stay on top of AI developments:

We track and summarize the latest and greatest from all these resources. You can follow us on twitter, medium, Facebook or Linkedin. Or you can also sign up to our newsletter on appliedai.com to get a weekly summary of all the latest and greatest from all these resources. To sign up to the newsletter, just browse the website for a few minutes, the pop-up will ask you to join the newsletter.Read more

Sales is hard. Conversion rates are low and sales cycle is longer. Your customers don’t just take out their credit cards to buy things. They need hand-holding and a lot of validation. You need to make calls, meet them in person, answer their concerns and continue to guide them after sales to ensure that you build a healthy relationship with them. Artificial intelligence can make this a bit easier.

As a sales leader, you may be hearing that artificial intelligence will rule the world. You hear giants like Dell and Cisco using AI in sales. You imagine a future where all sales is done by cheap yet effective AI asisstants. We are not there yet essentially because AI is not as mature enough to handle complex conversations and relationship building required in sales. AI today does not aim to replace sales reps but acts as an assistant toRead more

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We democratize Artificial Intelligence.
We are building a transparent marketplace of companies offering B2B AI products & services. We allow companies to look beyond marketing speak, beyond huge marketing budgets to understand how they can use AI in their businesses and evaluate AI services objectively.